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Important Update:

View the virtual commencement ceremonies and celebrate with the class of 2020 on social media using the hashtag #UCOGrad2020!
The physical campus remains closed through May 31 in response to the COVID-19 pandemic. Many services remain available virtually. For more information, visit the university's COVID-19 website.

  • Computer Laboratory - The computer lab is located in room 100, Math and Computer Science building (MCS) and is open to all students. The lab is equipped with up-to-date mathematical software such as Mathematica, Maple, and SAS. The lab is open  8 a.m. - 8 p.m., Mon. - Th. and 8 a.m. - 4 p.m. Friday. The lab is closed on university holidays, and operates with limited hours during finals week.
  • Awards and Scholarships - Each year, the department awards students for their accomplishments. Many awards and scholarships are to honor or in memory of those who have shaped our department into the thriving entity that exists today. Visit the College of Mathematics and Science scholarship page for more information and application instructions.
  •  Tutoring Lab - Free tutoring is available for many 1000- and 2000-level courses. Tutors are located in the Computer Lab, MCS room 100. The lab is open Monday through Thursday, 8 a.m. to 8 p.m., and Fridays from 8 a.m. to 4 p.m. The lab is closed on university holidays, and operates with limited hours during finals week. No appointment is necessary.


Open source mathematics resources for the department are listed below. Please right click or save to download the files rather than repeatedly opening them on the browser. Mac users might experience distortion on select pages and should try an alternate pdf viewer.

MATH 1513 - College Algebra MATH 1533 - Precalculus-Algebra MATH 1593 - Plane Trigonometry MATH 3103 - Ordinary Differential Equations Math/Stat 4910/5910 - Data Mining & Machine Learning
  • Math/Stat 4910/5910 - Data Mining & Machine Learning is using a free textbook available for download from an author's website.
  • The site also contains links for the R code presented in the book and copies of the datasets that are analyzed.